Theis, Fabian J. and Kohl, Z. and Kuhn, H. and Stockmeier, H. and Lang, Elmar (2004) Automated counting of labelled cells in rodent brain section images. In: Tilg, B., (ed.) Proceedings of the Second IASTED International Conference on Biomedical Engineering: February 16 - 18, 2004, Innsbruck, Austria. Acta Press, Anaheim, pp. 209-212. ISBN 0-88986-408-X.
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The genesis of new cells, especially of neurons, in the adult human brain is currently of great scientific interest. In order to measure neurogenesis in animals new born cells are labelled with specific markers such as BrdU; in brain sections these can later be analyzed and counted through the microscope. So far, the image analysis has been performed by hand. In this work, we present an algorithm to automatically segment the digital brain section picture into cell and noncell components, giving a count of the number of cells in the section. This is done by first training a so-called cell classifier with cell and non-cell patches in a supervised manner. This cell classifier can later be used in an arbitrary number of sections by scanning the section and choosing maxima of this classifier as cell center locations. For training, single- and multi-layer perceptrons were used. In preliminary experiments, we get good performance of the classifier.
|Item Type:||Book Section|
|Institutions:|| Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang|
Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang > Arbeitsgruppe Dr. Fabian Theis
|Projects:||Graduiertenkolleg Nichtlinearität und Nichtgleichgewicht|
|Subjects:||500 Science > 530 Physics|
500 Science > 570 Life sciences
|Refereed:||Yes, this version has been refereed|
|Created at the University of Regensburg:||Yes|
|Deposited On:||20 Mar 2007|
|Last Modified:||06 Oct 2010 08:16|